Sample report to test static site password protection

Dataset statistics

Number of variables	23
Number of observations	10000
Missing cells	8704
Missing cells (%)	3.8%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	539.6 KiB
Average record size in memory	55.3 B

Variable types

Numeric	8
Categorical	15

Warnings

`age` has a high cardinality: 100 distinct values	High cardinality
`hhwt` is highly correlated with `perwt`	High correlation
`perwt` is highly correlated with `hhwt`	High correlation
`sample` is highly correlated with `country`	High correlation
`empstat` is highly correlated with `empstatd`	High correlation
`indig` is highly correlated with `race`	High correlation
`country` is highly correlated with `sample`	High correlation
`race` is highly correlated with `indig`	High correlation
`edattain` is highly correlated with `edattaind`	High correlation
`empstatd` is highly correlated with `empstat`	High correlation
`edattaind` is highly correlated with `edattain`	High correlation
`internet` has 1801 (18.0%) missing values	Missing
`race` has 4756 (47.6%) missing values	Missing
`indig` has 2147 (21.5%) missing values	Missing
`df_index` has unique values	Unique

Reproduction

Analysis started	2021-01-11 17:02:54.221857
Analysis finished	2021-01-11 17:03:08.978034
Duration	14.76 seconds
Software version	pandas-profiling v2.10.0
Download configuration	config.yaml

df_index
Real number (ℝ_≥0)

UNIQUE

Distinct	10000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	26064256.58
Minimum	14710
Maximum	52546277
Zeros	0
Zeros (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	14710
5-th percentile	2609690.45
Q1	12934202.25
median	26004179
Q3	38974435.25
95-th percentile	49747660.85
Maximum	52546277
Range	52531567
Interquartile range (IQR)	26040233

Descriptive statistics

Standard deviation	15124513.48
Coefficient of variation (CV)	0.5802779538
Kurtosis	-1.191586877
Mean	26064256.58
Median Absolute Deviation (MAD)	13014604
Skewness	0.006525841157
Sum	2.606425658 × 10¹¹
Variance	2.287509079 × 10¹⁴
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
49891327	1	< 0.1%
46624015	1	< 0.1%
25242903	1	< 0.1%
42401065	1	< 0.1%
49380629	1	< 0.1%
42775828	1	< 0.1%
46899191	1	< 0.1%
33755657	1	< 0.1%
45644707	1	< 0.1%
34504074	1	< 0.1%
Other values (9990)	9990	99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
14710	1	< 0.1%
27684	1	< 0.1%
29925	1	< 0.1%
34204	1	< 0.1%
35160	1	< 0.1%

Value	Count	Frequency (%)
52546277	1	< 0.1%
52545139	1	< 0.1%
52535356	1	< 0.1%
52534316	1	< 0.1%
52530219	1	< 0.1%

country
Categorical

HIGH CORRELATION

Distinct	16
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	10.6 KiB

brazil	3946
mexico	2144
colombia	762
argentina	761
peru	519
Other values (11)	1868

Length

Max length	18
Median length	6
Mean length	6.7396
Min length	4

Characters and Unicode

Total characters	67396
Distinct characters	22
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	brazil
2nd row	mexico
3rd row	brazil
4th row	mexico
5th row	argentina

Value	Count	Frequency (%)
brazil	3946	39.5%
mexico	2144	21.4%
colombia	762	7.6%
argentina	761	7.6%
peru	519	5.2%
venezuela	417	4.2%
chile	307	3.1%
ecuador	297	3.0%
dominican republic	172	1.7%
haiti	145	1.5%
Other values (6)	530	5.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
brazil	3946	38.1%
mexico	2144	20.7%
colombia	762	7.4%
argentina	761	7.3%
peru	519	5.0%
venezuela	417	4.0%
chile	307	3.0%
ecuador	297	2.9%
republic	172	1.7%
dominican	172	1.7%
Other values (9)	865	8.3%

Most occurring characters

Value	Count	Frequency (%)
i	8904	13.2%
a	8297	12.3%
r	6162	9.1%
l	5818	8.6%
e	5558	8.2%
b	4880	7.2%
o	4460	6.6%
z	4363	6.5%
c	4115	6.1%
m	3141	4.7%
Other values (12)	11698	17.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	67034	99.5%
Space Separator	362	0.5%

Most frequent character per category

Value	Count	Frequency (%)
i	8904	13.3%
a	8297	12.4%
r	6162	9.2%
l	5818	8.7%
e	5558	8.3%
b	4880	7.3%
o	4460	6.7%
z	4363	6.5%
c	4115	6.1%
m	3141	4.7%
Other values (11)	11336	16.9%

Value	Count	Frequency (%)
	362	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	67034	99.5%
Common	362	0.5%

Most frequent character per script

Value	Count	Frequency (%)
i	8904	13.3%
a	8297	12.4%
r	6162	9.2%
l	5818	8.7%
e	5558	8.3%
b	4880	7.3%
o	4460	6.7%
z	4363	6.5%
c	4115	6.1%
m	3141	4.7%
Other values (11)	11336	16.9%

Value	Count	Frequency (%)
	362	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	67396	100.0%

Most frequent character per block

Value	Count	Frequency (%)
i	8904	13.2%
a	8297	12.3%
r	6162	9.1%
l	5818	8.6%
e	5558	8.2%
b	4880	7.2%
o	4460	6.6%
z	4363	6.5%
c	4115	6.1%
m	3141	4.7%
Other values (12)	11698	17.4%

year
Real number (ℝ_≥0)

Distinct	8
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2009.6268
Minimum	2001
Maximum	2015
Zeros	0
Zeros (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	2001
5-th percentile	2001
Q1	2010
median	2010
Q3	2010
95-th percentile	2015
Maximum	2015
Range	14
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	3.882219587
Coefficient of variation (CV)	0.001931811213
Kurtosis	-0.1044309751
Mean	2009.6268
Median Absolute Deviation (MAD)	0
Skewness	-0.503504689
Sum	20096268
Variance	15.07162892
Monotocity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
2010	5239	52.4%
2015	2144	21.4%
2005	857	8.6%
2007	626	6.3%
2001	550	5.5%
2002	307	3.1%
2003	145	1.5%
2011	132	1.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2001	550	5.5%
2002	307	3.1%
2003	145	1.5%
2005	857	8.6%
2007	626	6.3%

Value	Count	Frequency (%)
2015	2144	21.4%
2011	132	1.3%
2010	5239	52.4%
2007	626	6.3%
2005	857	8.6%

sample
Categorical

HIGH CORRELATION

Distinct	16
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	10.6 KiB

brazil 2010	3946
mexico 2015	2144
colombia 2005	762
argentina 2010	761
peru 2007	519
Other values (11)	1868

Length

Max length	23
Median length	11
Mean length	11.7396
Min length	9

Characters and Unicode

Total characters	117396
Distinct characters	28
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	brazil 2010
2nd row	mexico 2015
3rd row	brazil 2010
4th row	mexico 2015
5th row	argentina 2010

Value	Count	Frequency (%)
brazil 2010	3946	39.5%
mexico 2015	2144	21.4%
colombia 2005	762	7.6%
argentina 2010	761	7.6%
peru 2007	519	5.2%
venezuela 2001	417	4.2%
chile 2002	307	3.1%
ecuador 2010	297	3.0%
dominican republic 2010	172	1.7%
haiti 2003	145	1.5%
Other values (6)	530	5.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
2010	5239	25.7%
brazil	3946	19.4%
2015	2144	10.5%
mexico	2144	10.5%
2005	857	4.2%
colombia	762	3.7%
argentina	761	3.7%
2007	626	3.1%
2001	550	2.7%
peru	519	2.5%
Other values (17)	2814	13.8%

Most occurring characters

Value	Count	Frequency (%)
0	17724	15.1%
	10362	8.8%
2	10307	8.8%
i	8904	7.6%
a	8297	7.1%
1	8197	7.0%
r	6162	5.2%
l	5818	5.0%
e	5558	4.7%
b	4880	4.2%
Other values (18)	31187	26.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	67034	57.1%
Decimal Number	40000	34.1%
Space Separator	10362	8.8%

Most frequent character per category

Value	Count	Frequency (%)
i	8904	13.3%
a	8297	12.4%
r	6162	9.2%
l	5818	8.7%
e	5558	8.3%
b	4880	7.3%
o	4460	6.7%
z	4363	6.5%
c	4115	6.1%
m	3141	4.7%
Other values (11)	11336	16.9%

Value	Count	Frequency (%)
0	17724	44.3%
2	10307	25.8%
1	8197	20.5%
5	3001	7.5%
7	626	1.6%
3	145	0.4%

Value	Count	Frequency (%)
	10362	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	67034	57.1%
Common	50362	42.9%

Most frequent character per script

Value	Count	Frequency (%)
i	8904	13.3%
a	8297	12.4%
r	6162	9.2%
l	5818	8.7%
e	5558	8.3%
b	4880	7.3%
o	4460	6.7%
z	4363	6.5%
c	4115	6.1%
m	3141	4.7%
Other values (11)	11336	16.9%

Value	Count	Frequency (%)
0	17724	35.2%
	10362	20.6%
2	10307	20.5%
1	8197	16.3%
5	3001	6.0%
7	626	1.2%
3	145	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	117396	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	17724	15.1%
	10362	8.8%
2	10307	8.8%
i	8904	7.6%
a	8297	7.1%
1	8197	7.0%
r	6162	5.2%
l	5818	5.0%
e	5558	4.7%
b	4880	4.2%
Other values (18)	31187	26.6%

serial
Real number (ℝ_≥0)

Distinct	9992
Distinct (%)	99.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1608447907
Minimum	112001
Maximum	6189373000
Zeros	0
Zeros (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	112001
5-th percentile	44133550.05
Q1	300191000.2
median	893770000
Q3	2499659000
95-th percentile	5341378550
Maximum	6189373000
Range	6189260999
Interquartile range (IQR)	2199468000

Descriptive statistics

Standard deviation	1679117758
Coefficient of variation (CV)	1.043936674
Kurtosis	0.2236980339
Mean	1608447907
Median Absolute Deviation (MAD)	763431999.5
Skewness	1.151049553
Sum	1.608447907 × 10¹³
Variance	2.819436445 × 10¹⁸
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1038852000	2	< 0.1%
179516001	2	< 0.1%
1714242000	2	< 0.1%
483438001	2	< 0.1%
2188438000	2	< 0.1%
68159000	2	< 0.1%
594681000	2	< 0.1%
8729000	2	< 0.1%
26910000	1	< 0.1%
181732001	1	< 0.1%
Other values (9982)	9982	99.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
112001	1	< 0.1%
319001	1	< 0.1%
465000	1	< 0.1%
465001	1	< 0.1%
632000	1	< 0.1%

Value	Count	Frequency (%)
6189373000	1	< 0.1%
6189295000	1	< 0.1%
6187806000	1	< 0.1%
6187616000	1	< 0.1%
6186946000	1	< 0.1%

persons
Real number (ℝ_≥0)

Distinct	25
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4.6389
Minimum	1
Maximum	28
Zeros	0
Zeros (%)	0.0%
Memory size	9.9 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	3
median	4
Q3	6
95-th percentile	9
Maximum	28
Range	27
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.289897629
Coefficient of variation (CV)	0.4936294444
Kurtosis	7.761745766
Mean	4.6389
Median Absolute Deviation (MAD)	1
Skewness	1.727309938
Sum	46389
Variance	5.243631153
Monotocity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
4	2303	23.0%
3	1772	17.7%
5	1757	17.6%
6	1165	11.7%
2	1054	10.5%
7	688	6.9%
1	350	3.5%
8	345	3.5%
9	234	2.3%
10	143	1.4%
Other values (15)	189	1.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	350	3.5%
2	1054	10.5%
3	1772	17.7%
4	2303	23.0%
5	1757	17.6%

Value	Count	Frequency (%)
28	2	< 0.1%
27	1	< 0.1%
24	2	< 0.1%
22	1	< 0.1%
21	1	< 0.1%

hhwt
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	1792
Distinct (%)	17.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	9.731379
Minimum	0
Maximum	198
Zeros	9
Zeros (%)	0.1%
Memory size	78.2 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	4.74
median	10
Q3	10
95-th percentile	22.123
Maximum	198
Range	198
Interquartile range (IQR)	5.26

Descriptive statistics

Standard deviation	8.743821307
Coefficient of variation (CV)	0.8985182169
Kurtosis	61.21473892
Mean	9.731379
Median Absolute Deviation (MAD)	2.46
Skewness	5.820674417
Sum	97313.79
Variance	76.45441105
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10	3258	32.6%
2	535	5.3%
4	522	5.2%
6	315	3.1%
4.64	283	2.8%
8	193	1.9%
12	71	0.7%
16	54	0.5%
14	42	0.4%
22	33	0.3%
Other values (1782)	4694	46.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	9	0.1%
1	10	0.1%
1.03	1	< 0.1%
1.04	1	< 0.1%
1.07	1	< 0.1%

Value	Count	Frequency (%)
198	1	< 0.1%
148	1	< 0.1%
127.39	1	< 0.1%
120.12	1	< 0.1%
118	1	< 0.1%

gq
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	10.1 KiB

households	9948
other group quarters	26
institutions	12
1-person unit created by splitting large household	9
group quarters (collective), n.s	5

Length

Max length	50
Median length	10
Mean length	10.0754
Min length	10

Characters and Unicode

Total characters	100754
Distinct characters	26
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	households
2nd row	households
3rd row	households
4th row	households
5th row	households

Value	Count	Frequency (%)
households	9948	99.5%
other group quarters	26	0.3%
institutions	12	0.1%
1-person unit created by splitting large household	9	0.1%
group quarters (collective), n.s	5	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
households	9948	98.3%
quarters	31	0.3%
group	31	0.3%
other	26	0.3%
institutions	12	0.1%
household	9	0.1%
unit	9	0.1%
1-person	9	0.1%
splitting	9	0.1%
large	9	0.1%
Other values (4)	28	0.3%

Most occurring characters

Value	Count	Frequency (%)
o	19997	19.8%
s	19983	19.8%
h	19940	19.8%
e	10060	10.0%
u	10040	10.0%
l	9985	9.9%
d	9966	9.9%
r	146	0.1%
t	134	0.1%
	121	0.1%
Other values (16)	382	0.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	100595	99.8%
Space Separator	121	0.1%
Other Punctuation	10	< 0.1%
Decimal Number	9	< 0.1%
Dash Punctuation	9	< 0.1%
Open Punctuation	5	< 0.1%
Close Punctuation	5	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
o	19997	19.9%
s	19983	19.9%
h	19940	19.8%
e	10060	10.0%
u	10040	10.0%
l	9985	9.9%
d	9966	9.9%
r	146	0.1%
t	134	0.1%
i	68	0.1%
Other values (9)	276	0.3%

Value	Count	Frequency (%)
,	5	50.0%
.	5	50.0%

Value	Count	Frequency (%)
	121	100.0%

Value	Count	Frequency (%)
1	9	100.0%

Value	Count	Frequency (%)
-	9	100.0%

Value	Count	Frequency (%)
(	5	100.0%

Value	Count	Frequency (%)
)	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	100595	99.8%
Common	159	0.2%

Most frequent character per script

Value	Count	Frequency (%)
o	19997	19.9%
s	19983	19.9%
h	19940	19.8%
e	10060	10.0%
u	10040	10.0%
l	9985	9.9%
d	9966	9.9%
r	146	0.1%
t	134	0.1%
i	68	0.1%
Other values (9)	276	0.3%

Value	Count	Frequency (%)
	121	76.1%
1	9	5.7%
-	9	5.7%
(	5	3.1%
)	5	3.1%
,	5	3.1%
.	5	3.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	100754	100.0%

Most frequent character per block

Value	Count	Frequency (%)
o	19997	19.8%
s	19983	19.8%
h	19940	19.8%
e	10060	10.0%
u	10040	10.0%
l	9985	9.9%
d	9966	9.9%
r	146	0.1%
t	134	0.1%
	121	0.1%
Other values (16)	382	0.4%

geolev1
Real number (ℝ_≥0)

Distinct	291
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	257790.0231
Minimum	32002
Maximum	862023
Zeros	0
Zeros (%)	0.0%
Memory size	39.2 KiB

Quantile statistics

Minimum	32002
5-th percentile	32034
Q1	76031
median	152132
Q3	484014
95-th percentile	604021
Maximum	862023
Range	830021
Interquartile range (IQR)	407983

Descriptive statistics

Standard deviation	232148.4976
Coefficient of variation (CV)	0.9005332897
Kurtosis	-0.1431791563
Mean	257790.0231
Median Absolute Deviation (MAD)	76109
Skewness	0.9641215669
Sum	2577900231
Variance	5.389292492 × 10¹⁰
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
76035	720	7.2%
76031	474	4.7%
32006	312	3.1%
76029	282	2.8%
76043	273	2.7%
76041	233	2.3%
76052	203	2.0%
484020	200	2.0%
76033	195	1.9%
218009	192	1.9%
Other values (281)	6916	69.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
32002	60	0.6%
32006	312	3.1%
32010	5	0.1%
32014	54	0.5%
32018	20	0.2%

Value	Count	Frequency (%)
862023	46	0.5%
862022	7	0.1%
862021	12	0.1%
862020	26	0.3%
862019	12	0.1%

internet
Categorical

MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	1801
Missing (%)	18.0%
Memory size	10.1 KiB

no	3865
niu (not in universe)	2762
yes	1531
unknown	41

Length

Max length	21
Median length	3
Mean length	8.612269789
Min length	2

Characters and Unicode

Total characters	70612
Distinct characters	15
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	niu (not in universe)
2nd row	yes
3rd row	niu (not in universe)
4th row	no
5th row	yes

Value	Count	Frequency (%)
no	3865	38.6%
niu (not in universe)	2762	27.6%
yes	1531	15.3%
unknown	41	0.4%
(Missing)	1801	18.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
no	3865	23.4%
not	2762	16.8%
in	2762	16.8%
niu	2762	16.8%
universe	2762	16.8%
yes	1531	9.3%
unknown	41	0.2%

Most occurring characters

Value	Count	Frequency (%)
n	15036	21.3%
i	8286	11.7%
	8286	11.7%
e	7055	10.0%
o	6668	9.4%
u	5565	7.9%
s	4293	6.1%
(	2762	3.9%
t	2762	3.9%
v	2762	3.9%
Other values (5)	7137	10.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	56802	80.4%
Space Separator	8286	11.7%
Open Punctuation	2762	3.9%
Close Punctuation	2762	3.9%

Most frequent character per category

Value	Count	Frequency (%)
n	15036	26.5%
i	8286	14.6%
e	7055	12.4%
o	6668	11.7%
u	5565	9.8%
s	4293	7.6%
t	2762	4.9%
v	2762	4.9%
r	2762	4.9%
y	1531	2.7%
Other values (2)	82	0.1%

Value	Count	Frequency (%)
	8286	100.0%

Value	Count	Frequency (%)
(	2762	100.0%

Value	Count	Frequency (%)
)	2762	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	56802	80.4%
Common	13810	19.6%

Most frequent character per script

Value	Count	Frequency (%)
n	15036	26.5%
i	8286	14.6%
e	7055	12.4%
o	6668	11.7%
u	5565	9.8%
s	4293	7.6%
t	2762	4.9%
v	2762	4.9%
r	2762	4.9%
y	1531	2.7%
Other values (2)	82	0.1%

Value	Count	Frequency (%)
	8286	60.0%
(	2762	20.0%
)	2762	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	70612	100.0%

Most frequent character per block

Value	Count	Frequency (%)
n	15036	21.3%
i	8286	11.7%
	8286	11.7%
e	7055	10.0%
o	6668	9.4%
u	5565	7.9%
s	4293	6.1%
(	2762	3.9%
t	2762	3.9%
v	2762	3.9%
Other values (5)	7137	10.1%

computer
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	10.1 KiB

no	7381
yes	2544
niu (not in universe)	41
unknown/missing	34

Length

Max length	21
Median length	2
Mean length	2.3765
Min length	2

Characters and Unicode

Total characters	23765
Distinct characters	18
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	no
2nd row	no
3rd row	no
4th row	yes
5th row	yes

Value	Count	Frequency (%)
no	7381	73.8%
yes	2544	25.4%
niu (not in universe)	41	0.4%
unknown/missing	34	0.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
no	7381	72.9%
yes	2544	25.1%
not	41	0.4%
in	41	0.4%
niu	41	0.4%
universe	41	0.4%
unknown/missing	34	0.3%

Most occurring characters

Value	Count	Frequency (%)
n	7681	32.3%
o	7456	31.4%
s	2653	11.2%
e	2626	11.0%
y	2544	10.7%
i	191	0.8%
	123	0.5%
u	116	0.5%
(	41	0.2%
t	41	0.2%
Other values (8)	293	1.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	23526	99.0%
Space Separator	123	0.5%
Open Punctuation	41	0.2%
Close Punctuation	41	0.2%
Other Punctuation	34	0.1%

Most frequent character per category

Value	Count	Frequency (%)
n	7681	32.6%
o	7456	31.7%
s	2653	11.3%
e	2626	11.2%
y	2544	10.8%
i	191	0.8%
u	116	0.5%
t	41	0.2%
v	41	0.2%
r	41	0.2%
Other values (4)	136	0.6%

Value	Count	Frequency (%)
	123	100.0%

Value	Count	Frequency (%)
(	41	100.0%

Value	Count	Frequency (%)
)	41	100.0%

Value	Count	Frequency (%)
/	34	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	23526	99.0%
Common	239	1.0%

Most frequent character per script

Value	Count	Frequency (%)
n	7681	32.6%
o	7456	31.7%
s	2653	11.3%
e	2626	11.2%
y	2544	10.8%
i	191	0.8%
u	116	0.5%
t	41	0.2%
v	41	0.2%
r	41	0.2%
Other values (4)	136	0.6%

Value	Count	Frequency (%)
	123	51.5%
(	41	17.2%
)	41	17.2%
/	34	14.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	23765	100.0%

Most frequent character per block

Value	Count	Frequency (%)
n	7681	32.3%
o	7456	31.4%
s	2653	11.2%
e	2626	11.0%
y	2544	10.7%
i	191	0.8%
	123	0.5%
u	116	0.5%
(	41	0.2%
t	41	0.2%
Other values (8)	293	1.2%

pernum
Real number (ℝ_≥0)

Distinct	17
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.8293
Minimum	1
Maximum	22
Zeros	0
Zeros (%)	0.0%
Memory size	9.9 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	4
95-th percentile	6
Maximum	22
Range	21
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.846917058
Coefficient of variation (CV)	0.6527823343
Kurtosis	4.22190227
Mean	2.8293
Median Absolute Deviation (MAD)	1
Skewness	1.534156834
Sum	28293
Variance	3.41110262
Monotocity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
1	2771	27.7%
2	2442	24.4%
3	1885	18.9%
4	1325	13.2%
5	732	7.3%
6	401	4.0%
7	209	2.1%
8	114	1.1%
9	56	0.6%
10	29	0.3%
Other values (7)	36	0.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	2771	27.7%
2	2442	24.4%
3	1885	18.9%
4	1325	13.2%
5	732	7.3%

Value	Count	Frequency (%)
22	1	< 0.1%
16	1	< 0.1%
15	3	< 0.1%
14	3	< 0.1%
13	4	< 0.1%

perwt
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	1790
Distinct (%)	17.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	9.741712
Minimum	1
Maximum	198
Zeros	0
Zeros (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	4.79
median	10
Q3	10
95-th percentile	22.123
Maximum	198
Range	197
Interquartile range (IQR)	5.21

Descriptive statistics

Standard deviation	8.738742653
Coefficient of variation (CV)	0.897043831
Kurtosis	61.33514744
Mean	9.741712
Median Absolute Deviation (MAD)	2.435
Skewness	5.828609816
Sum	97417.12
Variance	76.36562315
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10	3267	32.7%
2	535	5.3%
4	522	5.2%
6	315	3.1%
4.64	283	2.8%
8	193	1.9%
12	71	0.7%
16	54	0.5%
14	42	0.4%
22	33	0.3%
Other values (1780)	4685	46.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	10	0.1%
1.03	1	< 0.1%
1.04	1	< 0.1%
1.07	1	< 0.1%
1.08	1	< 0.1%

Value	Count	Frequency (%)
198	1	< 0.1%
148	1	< 0.1%
127.39	1	< 0.1%
120.12	1	< 0.1%
118	1	< 0.1%

age
Categorical

HIGH CARDINALITY

Distinct	100
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	15.7 KiB

13	211
5	208
12	208
15	202
20	201
Other values (95)	8970

Length

Max length	20
Median length	2
Mean length	2.2885
Min length	1

Characters and Unicode

Total characters	22885
Distinct characters	28
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	< 0.1%

Sample

1st row	25
2nd row	13
3rd row	3
4th row	42
5th row	57

Value	Count	Frequency (%)
13	211	2.1%
5	208	2.1%
12	208	2.1%
15	202	2.0%
20	201	2.0%
3	200	2.0%
14	195	1.9%
11	194	1.9%
18	193	1.9%
9	192	1.9%
Other values (90)	7996	80.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
1	365	3.3%
year	365	3.3%
13	211	1.9%
12	208	1.9%
5	208	1.9%
15	202	1.9%
20	201	1.8%
3	200	1.8%
14	195	1.8%
11	194	1.8%
Other values (94)	8562	78.5%

Most occurring characters

Value	Count	Frequency (%)
1	3120	13.6%
2	2720	11.9%
3	2494	10.9%
4	2133	9.3%
5	1947	8.5%
6	1501	6.6%
7	1277	5.6%
8	1091	4.8%
0	983	4.3%
	911	4.0%
Other values (18)	4708	20.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	18152	79.3%
Lowercase Letter	3819	16.7%
Space Separator	911	4.0%
Math Symbol	2	< 0.1%
Other Punctuation	1	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	720	18.9%
a	718	18.8%
s	547	14.3%
r	528	13.8%
y	526	13.8%
t	194	5.1%
n	194	5.1%
l	192	5.0%
h	192	5.0%
o	2	0.1%
Other values (5)	6	0.2%

Value	Count	Frequency (%)
1	3120	17.2%
2	2720	15.0%
3	2494	13.7%
4	2133	11.8%
5	1947	10.7%
6	1501	8.3%
7	1277	7.0%
8	1091	6.0%
0	983	5.4%
9	886	4.9%

Value	Count	Frequency (%)
	911	100.0%

Value	Count	Frequency (%)
/	1	100.0%

Value	Count	Frequency (%)
+	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	19066	83.3%
Latin	3819	16.7%

Most frequent character per script

Value	Count	Frequency (%)
e	720	18.9%
a	718	18.8%
s	547	14.3%
r	528	13.8%
y	526	13.8%
t	194	5.1%
n	194	5.1%
l	192	5.0%
h	192	5.0%
o	2	0.1%
Other values (5)	6	0.2%

Value	Count	Frequency (%)
1	3120	16.4%
2	2720	14.3%
3	2494	13.1%
4	2133	11.2%
5	1947	10.2%
6	1501	7.9%
7	1277	6.7%
8	1091	5.7%
0	983	5.2%
	911	4.8%
Other values (3)	889	4.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	22885	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	3120	13.6%
2	2720	11.9%
3	2494	10.9%
4	2133	9.3%
5	1947	8.5%
6	1501	6.6%
7	1277	5.6%
8	1091	4.8%
0	983	4.3%
	911	4.0%
Other values (18)	4708	20.6%

sex
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	10.0 KiB

male	5020
female	4980

Length

Max length	6
Median length	4
Mean length	4.996
Min length	4

Characters and Unicode

Total characters	49960
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	male
2nd row	female
3rd row	female
4th row	female
5th row	male

Value	Count	Frequency (%)
male	5020	50.2%
female	4980	49.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
male	5020	50.2%
female	4980	49.8%

Most occurring characters

Value	Count	Frequency (%)
e	14980	30.0%
m	10000	20.0%
a	10000	20.0%
l	10000	20.0%
f	4980	10.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	49960	100.0%

Most frequent character per category

Value	Count	Frequency (%)
e	14980	30.0%
m	10000	20.0%
a	10000	20.0%
l	10000	20.0%
f	4980	10.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	49960	100.0%

Most frequent character per script

Value	Count	Frequency (%)
e	14980	30.0%
m	10000	20.0%
a	10000	20.0%
l	10000	20.0%
f	4980	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	49960	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	14980	30.0%
m	10000	20.0%
a	10000	20.0%
l	10000	20.0%
f	4980	10.0%

race
Categorical

HIGH CORRELATION
MISSING

Distinct	12
Distinct (%)	0.2%
Missing	4756
Missing (%)	47.6%
Memory size	10.6 KiB

white	2632
brown (brazil)	1742
black	364
mestizo (indigenous and white)	313
indigenous	79
Other values (7)	114

Length

Max length	30
Median length	5
Mean length	9.686308162
Min length	5

Characters and Unicode

Total characters	50795
Distinct characters	24
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	white
2nd row	white
3rd row	white
4th row	white
5th row	white

Value	Count	Frequency (%)
white	2632	26.3%
brown (brazil)	1742	17.4%
black	364	3.6%
mestizo (indigenous and white)	313	3.1%
indigenous	79	0.8%
asian	39	0.4%
montubio (ecuador)	29	0.3%
unknown	23	0.2%
afro-ecuadorian	11	0.1%
mulatto (black and white)	6	0.1%
Other values (2)	6	0.1%
(Missing)	4756	47.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
white	2951	37.0%
brown	1742	21.8%
brazil	1742	21.8%
indigenous	392	4.9%
black	370	4.6%
and	319	4.0%
mestizo	313	3.9%
asian	39	0.5%
ecuador	29	0.4%
montubio	29	0.4%
Other values (8)	52	0.7%

Most occurring characters

Value	Count	Frequency (%)
i	5869	11.6%
w	4718	9.3%
b	3883	7.6%
e	3704	7.3%
r	3545	7.0%
t	3311	6.5%
n	2993	5.9%
h	2955	5.8%
	2734	5.4%
o	2595	5.1%
Other values (14)	14488	28.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	43870	86.4%
Space Separator	2734	5.4%
Open Punctuation	2090	4.1%
Close Punctuation	2090	4.1%
Dash Punctuation	11	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
i	5869	13.4%
w	4718	10.8%
b	3883	8.9%
e	3704	8.4%
r	3545	8.1%
t	3311	7.5%
n	2993	6.8%
h	2955	6.7%
o	2595	5.9%
a	2579	5.9%
Other values (10)	7718	17.6%

Value	Count	Frequency (%)
	2734	100.0%

Value	Count	Frequency (%)
(	2090	100.0%

Value	Count	Frequency (%)
)	2090	100.0%

Value	Count	Frequency (%)
-	11	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	43870	86.4%
Common	6925	13.6%

Most frequent character per script

Value	Count	Frequency (%)
i	5869	13.4%
w	4718	10.8%
b	3883	8.9%
e	3704	8.4%
r	3545	8.1%
t	3311	7.5%
n	2993	6.8%
h	2955	6.7%
o	2595	5.9%
a	2579	5.9%
Other values (10)	7718	17.6%

Value	Count	Frequency (%)
	2734	39.5%
(	2090	30.2%
)	2090	30.2%
-	11	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50795	100.0%

Most frequent character per block

Value	Count	Frequency (%)
i	5869	11.6%
w	4718	9.3%
b	3883	7.6%
e	3704	7.3%
r	3545	7.0%
t	3311	6.5%
n	2993	5.9%
h	2955	5.8%
	2734	5.4%
o	2595	5.1%
Other values (14)	14488	28.5%

indig
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	2147
Missing (%)	21.5%
Memory size	10.0 KiB

no	6945
yes	865
unknown	43

Length

Max length	7
Median length	2
Mean length	2.13752706
Min length	2

Characters and Unicode

Total characters	16786
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	no
2nd row	no
3rd row	no
4th row	yes
5th row	no

Value	Count	Frequency (%)
no	6945	69.5%
yes	865	8.6%
unknown	43	0.4%
(Missing)	2147	21.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
no	6945	88.4%
yes	865	11.0%
unknown	43	0.5%

Most occurring characters

Value	Count	Frequency (%)
n	7074	42.1%
o	6988	41.6%
y	865	5.2%
e	865	5.2%
s	865	5.2%
u	43	0.3%
k	43	0.3%
w	43	0.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	16786	100.0%

Most frequent character per category

Value	Count	Frequency (%)
n	7074	42.1%
o	6988	41.6%
y	865	5.2%
e	865	5.2%
s	865	5.2%
u	43	0.3%
k	43	0.3%
w	43	0.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16786	100.0%

Most frequent character per script

Value	Count	Frequency (%)
n	7074	42.1%
o	6988	41.6%
y	865	5.2%
e	865	5.2%
s	865	5.2%
u	43	0.3%
k	43	0.3%
w	43	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16786	100.0%

Most frequent character per block

Value	Count	Frequency (%)
n	7074	42.1%
o	6988	41.6%
y	865	5.2%
e	865	5.2%
s	865	5.2%
u	43	0.3%
k	43	0.3%
w	43	0.3%

lit
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	10.1 KiB

yes, literate	7916
no, illiterate	1232
niu (not in universe)	806
unknown/missing	46

Length

Max length	21
Median length	13
Mean length	13.7772
Min length	13

Characters and Unicode

Total characters	137772
Distinct characters	21
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	yes, literate
2nd row	yes, literate
3rd row	niu (not in universe)
4th row	yes, literate
5th row	yes, literate

Value	Count	Frequency (%)
yes, literate	7916	79.2%
no, illiterate	1232	12.3%
niu (not in universe)	806	8.1%
unknown/missing	46	0.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
yes	7916	36.7%
literate	7916	36.7%
no	1232	5.7%
illiterate	1232	5.7%
niu	806	3.7%
universe	806	3.7%
not	806	3.7%
in	806	3.7%
unknown/missing	46	0.2%

Most occurring characters

Value	Count	Frequency (%)
e	27824	20.2%
t	19102	13.9%
i	12890	9.4%
	11566	8.4%
l	10380	7.5%
r	9954	7.2%
,	9148	6.6%
a	9148	6.6%
s	8814	6.4%
y	7916	5.7%
Other values (11)	11030	8.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	115400	83.8%
Space Separator	11566	8.4%
Other Punctuation	9194	6.7%
Open Punctuation	806	0.6%
Close Punctuation	806	0.6%

Most frequent character per category

Value	Count	Frequency (%)
e	27824	24.1%
t	19102	16.6%
i	12890	11.2%
l	10380	9.0%
r	9954	8.6%
a	9148	7.9%
s	8814	7.6%
y	7916	6.9%
n	4640	4.0%
o	2084	1.8%
Other values (6)	2648	2.3%

Value	Count	Frequency (%)
,	9148	99.5%
/	46	0.5%

Value	Count	Frequency (%)
	11566	100.0%

Value	Count	Frequency (%)
(	806	100.0%

Value	Count	Frequency (%)
)	806	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	115400	83.8%
Common	22372	16.2%

Most frequent character per script

Value	Count	Frequency (%)
e	27824	24.1%
t	19102	16.6%
i	12890	11.2%
l	10380	9.0%
r	9954	8.6%
a	9148	7.9%
s	8814	7.6%
y	7916	6.9%
n	4640	4.0%
o	2084	1.8%
Other values (6)	2648	2.3%

Value	Count	Frequency (%)
	11566	51.7%
,	9148	40.9%
(	806	3.6%
)	806	3.6%
/	46	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	137772	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	27824	20.2%
t	19102	13.9%
i	12890	9.4%
	11566	8.4%
l	10380	7.5%
r	9954	7.2%
,	9148	6.6%
a	9148	6.6%
s	8814	6.4%
y	7916	5.7%
Other values (11)	11030	8.0%

edattain
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	10.1 KiB

less than primary completed	4338
primary completed	3061
secondary completed	1701
university completed	480
niu (not in universe)	374

Length

Max length	27
Median length	20
Mean length	21.9258
Min length	7

Characters and Unicode

Total characters	219258
Distinct characters	22
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	secondary completed
2nd row	primary completed
3rd row	less than primary completed
4th row	primary completed
5th row	primary completed

Value	Count	Frequency (%)
less than primary completed	4338	43.4%
primary completed	3061	30.6%
secondary completed	1701	17.0%
university completed	480	4.8%
niu (not in universe)	374	3.7%
unknown	46	0.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
completed	9580	32.6%
primary	7399	25.2%
less	4338	14.8%
than	4338	14.8%
secondary	1701	5.8%
university	480	1.6%
niu	374	1.3%
universe	374	1.3%
not	374	1.3%
in	374	1.3%

Most occurring characters

Value	Count	Frequency (%)
e	26427	12.1%
	19378	8.8%
r	17353	7.9%
m	16979	7.7%
p	16979	7.7%
t	14772	6.7%
l	13918	6.3%
a	13438	6.1%
o	11701	5.3%
c	11281	5.1%
Other values (12)	57032	26.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	199132	90.8%
Space Separator	19378	8.8%
Open Punctuation	374	0.2%
Close Punctuation	374	0.2%

Most frequent character per category

Value	Count	Frequency (%)
e	26427	13.3%
r	17353	8.7%
m	16979	8.5%
p	16979	8.5%
t	14772	7.4%
l	13918	7.0%
a	13438	6.7%
o	11701	5.9%
c	11281	5.7%
d	11281	5.7%
Other values (9)	45003	22.6%

Value	Count	Frequency (%)
	19378	100.0%

Value	Count	Frequency (%)
(	374	100.0%

Value	Count	Frequency (%)
)	374	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	199132	90.8%
Common	20126	9.2%

Most frequent character per script

Value	Count	Frequency (%)
e	26427	13.3%
r	17353	8.7%
m	16979	8.5%
p	16979	8.5%
t	14772	7.4%
l	13918	7.0%
a	13438	6.7%
o	11701	5.9%
c	11281	5.7%
d	11281	5.7%
Other values (9)	45003	22.6%

Value	Count	Frequency (%)
	19378	96.3%
(	374	1.9%
)	374	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	219258	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	26427	12.1%
	19378	8.8%
r	17353	7.9%
m	16979	7.7%
p	16979	7.7%
t	14772	6.7%
l	13918	6.3%
a	13438	6.1%
o	11701	5.3%
c	11281	5.1%
Other values (12)	57032	26.0%

edattaind
Categorical

HIGH CORRELATION

Distinct	14
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	10.6 KiB

some primary completed	2245
primary (6 yrs) completed	1791
no schooling	1615
secondary, general track completed	1120
lower secondary general completed	1093
Other values (9)	2136

Length

Max length	36
Median length	22
Mean length	23.8095
Min length	12

Characters and Unicode

Total characters	238095
Distinct characters	29
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	secondary, general track completed
2nd row	primary (6 yrs) completed
3rd row	no schooling
4th row	lower secondary general completed
5th row	primary (6 yrs) completed

Value	Count	Frequency (%)
some primary completed	2245	22.4%
primary (6 yrs) completed	1791	17.9%
no schooling	1615	16.2%
secondary, general track completed	1120	11.2%
lower secondary general completed	1093	10.9%
university completed	480	4.8%
primary (4 yrs) completed	478	4.8%
niu (not in universe)	374	3.7%
some college completed	347	3.5%
post-secondary technical education	193	1.9%
Other values (4)	264	2.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
completed	7772	23.6%
primary	4670	14.2%
some	2592	7.9%
yrs	2425	7.4%
secondary	2275	6.9%
general	2213	6.7%
6	1791	5.4%
no	1615	4.9%
schooling	1615	4.9%
track	1161	3.5%
Other values (13)	4758	14.5%

Most occurring characters

Value	Count	Frequency (%)
e	28514	12.0%
	22887	9.6%
o	19944	8.4%
r	19575	8.2%
m	15080	6.3%
c	14066	5.9%
l	13663	5.7%
p	12635	5.3%
a	10960	4.6%
n	10519	4.4%
Other values (19)	70252	29.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	205785	86.4%
Space Separator	22887	9.6%
Open Punctuation	2799	1.2%
Close Punctuation	2799	1.2%
Decimal Number	2425	1.0%
Other Punctuation	1207	0.5%
Dash Punctuation	193	0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	28514	13.9%
o	19944	9.7%
r	19575	9.5%
m	15080	7.3%
c	14066	6.8%
l	13663	6.6%
p	12635	6.1%
a	10960	5.3%
n	10519	5.1%
d	10433	5.1%
Other values (10)	50396	24.5%

Value	Count	Frequency (%)
6	1791	73.9%
4	478	19.7%
5	156	6.4%

Value	Count	Frequency (%)
,	1161	96.2%
/	46	3.8%

Value	Count	Frequency (%)
	22887	100.0%

Value	Count	Frequency (%)
(	2799	100.0%

Value	Count	Frequency (%)
)	2799	100.0%

Value	Count	Frequency (%)
-	193	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	205785	86.4%
Common	32310	13.6%

Most frequent character per script

Value	Count	Frequency (%)
e	28514	13.9%
o	19944	9.7%
r	19575	9.5%
m	15080	7.3%
c	14066	6.8%
l	13663	6.6%
p	12635	6.1%
a	10960	5.3%
n	10519	5.1%
d	10433	5.1%
Other values (10)	50396	24.5%

Value	Count	Frequency (%)
	22887	70.8%
(	2799	8.7%
)	2799	8.7%
6	1791	5.5%
,	1161	3.6%
4	478	1.5%
-	193	0.6%
5	156	0.5%
/	46	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	238095	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	28514	12.0%
	22887	9.6%
o	19944	8.4%
r	19575	8.2%
m	15080	6.3%
c	14066	5.9%
l	13663	5.7%
p	12635	5.3%
a	10960	4.6%
n	10519	4.4%
Other values (19)	70252	29.5%

empstat
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	10.1 KiB

inactive	3982
employed	3785
niu (not in universe)	1828
unemployed	366
unknown/missing	39

Length

Max length	21
Median length	8
Mean length	10.4769
Min length	8

Characters and Unicode

Total characters	104769
Distinct characters	23
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	employed
2nd row	inactive
3rd row	niu (not in universe)
4th row	employed
5th row	employed

Value	Count	Frequency (%)
inactive	3982	39.8%
employed	3785	37.9%
niu (not in universe)	1828	18.3%
unemployed	366	3.7%
unknown/missing	39	0.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
inactive	3982	25.7%
employed	3785	24.4%
not	1828	11.8%
in	1828	11.8%
niu	1828	11.8%
universe	1828	11.8%
unemployed	366	2.4%
unknown/missing	39	0.3%

Most occurring characters

Value	Count	Frequency (%)
e	15940	15.2%
i	13526	12.9%
n	11816	11.3%
o	6018	5.7%
t	5810	5.5%
v	5810	5.5%
	5484	5.2%
m	4190	4.0%
p	4151	4.0%
l	4151	4.0%
Other values (13)	27873	26.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	95590	91.2%
Space Separator	5484	5.2%
Open Punctuation	1828	1.7%
Close Punctuation	1828	1.7%
Other Punctuation	39	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	15940	16.7%
i	13526	14.2%
n	11816	12.4%
o	6018	6.3%
t	5810	6.1%
v	5810	6.1%
m	4190	4.4%
p	4151	4.3%
l	4151	4.3%
y	4151	4.3%
Other values (9)	20027	21.0%

Value	Count	Frequency (%)
	5484	100.0%

Value	Count	Frequency (%)
(	1828	100.0%

Value	Count	Frequency (%)
)	1828	100.0%

Value	Count	Frequency (%)
/	39	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	95590	91.2%
Common	9179	8.8%

Most frequent character per script

Value	Count	Frequency (%)
e	15940	16.7%
i	13526	14.2%
n	11816	12.4%
o	6018	6.3%
t	5810	6.1%
v	5810	6.1%
m	4190	4.4%
p	4151	4.3%
l	4151	4.3%
y	4151	4.3%
Other values (9)	20027	21.0%

Value	Count	Frequency (%)
	5484	59.7%
(	1828	19.9%
)	1828	19.9%
/	39	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	104769	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	15940	15.2%
i	13526	12.9%
n	11816	11.3%
o	6018	5.7%
t	5810	5.5%
v	5810	5.5%
	5484	5.2%
m	4190	4.0%
p	4151	4.0%
l	4151	4.0%
Other values (13)	27873	26.6%

empstatd
Categorical

HIGH CORRELATION

Distinct	24
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	11.3 KiB

at work	3542
niu (not in universe)	1828
inactive (not in labor force)	1713
housework	947
in school	819
Other values (19)	1151

Length

Max length	42
Median length	9
Mean length	15.7419
Min length	7

Characters and Unicode

Total characters	157419
Distinct characters	29
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	at work
2nd row	in school
3rd row	niu (not in universe)
4th row	at work
5th row	at work

Value	Count	Frequency (%)
at work	3542	35.4%
niu (not in universe)	1828	18.3%
inactive (not in labor force)	1713	17.1%
housework	947	9.5%
in school	819	8.2%
inactive, other reasons	339	3.4%
unemployed, not specified	277	2.8%
have job, not at work in reference period	84	0.8%
employed, not specified	79	0.8%
permanent disability	64	0.6%
Other values (14)	308	3.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
in	4444	15.1%
not	3986	13.6%
work	3669	12.5%
at	3647	12.4%
inactive	2055	7.0%
universe	1828	6.2%
niu	1828	6.2%
force	1713	5.8%
labor	1713	5.8%
housework	947	3.2%
Other values (36)	3536	12.0%

Most occurring characters

Value	Count	Frequency (%)
	19366	12.3%
o	16231	10.3%
n	15670	10.0%
i	13686	8.7%
e	12118	7.7%
r	11434	7.3%
t	10335	6.6%
a	8269	5.3%
c	5097	3.2%
u	5050	3.2%
Other values (19)	40163	25.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	129989	82.6%
Space Separator	19366	12.3%
Open Punctuation	3541	2.2%
Close Punctuation	3541	2.2%
Other Punctuation	982	0.6%

Most frequent character per category

Value	Count	Frequency (%)
o	16231	12.5%
n	15670	12.1%
i	13686	10.5%
e	12118	9.3%
r	11434	8.8%
t	10335	8.0%
a	8269	6.4%
c	5097	3.9%
u	5050	3.9%
s	4955	3.8%
Other values (14)	27144	20.9%

Value	Count	Frequency (%)
,	917	93.4%
/	65	6.6%

Value	Count	Frequency (%)
	19366	100.0%

Value	Count	Frequency (%)
(	3541	100.0%

Value	Count	Frequency (%)
)	3541	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	129989	82.6%
Common	27430	17.4%

Most frequent character per script

Value	Count	Frequency (%)
o	16231	12.5%
n	15670	12.1%
i	13686	10.5%
e	12118	9.3%
r	11434	8.8%
t	10335	8.0%
a	8269	6.4%
c	5097	3.9%
u	5050	3.9%
s	4955	3.8%
Other values (14)	27144	20.9%

Value	Count	Frequency (%)
	19366	70.6%
(	3541	12.9%
)	3541	12.9%
,	917	3.3%
/	65	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	157419	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	19366	12.3%
o	16231	10.3%
n	15670	10.0%
i	13686	8.7%
e	12118	7.7%
r	11434	7.3%
t	10335	6.6%
a	8269	5.3%
c	5097	3.2%
u	5050	3.2%
Other values (19)	40163	25.5%

labforce
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	10.1 KiB

yes, in the labor force	4068
no, not in the labor force	3060
niu (not in universe)	2841
unknown	31

Length

Max length	26
Median length	23
Mean length	23.3002
Min length	7

Characters and Unicode

Total characters	233002
Distinct characters	22
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	yes, in the labor force
2nd row	niu (not in universe)
3rd row	niu (not in universe)
4th row	yes, in the labor force
5th row	yes, in the labor force

Value	Count	Frequency (%)
yes, in the labor force	4068	40.7%
no, not in the labor force	3060	30.6%
niu (not in universe)	2841	28.4%
unknown	31	0.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
in	9969	19.9%
labor	7128	14.2%
the	7128	14.2%
force	7128	14.2%
not	5901	11.8%
yes	4068	8.1%
no	3060	6.1%
niu	2841	5.7%
universe	2841	5.7%
unknown	31	0.1%

Most occurring characters

Value	Count	Frequency (%)
	40095	17.2%
n	24705	10.6%
e	24006	10.3%
o	23248	10.0%
r	17097	7.3%
i	15651	6.7%
t	13029	5.6%
,	7128	3.1%
h	7128	3.1%
l	7128	3.1%
Other values (12)	53787	23.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	180097	77.3%
Space Separator	40095	17.2%
Other Punctuation	7128	3.1%
Open Punctuation	2841	1.2%
Close Punctuation	2841	1.2%

Most frequent character per category

Value	Count	Frequency (%)
n	24705	13.7%
e	24006	13.3%
o	23248	12.9%
r	17097	9.5%
i	15651	8.7%
t	13029	7.2%
h	7128	4.0%
l	7128	4.0%
a	7128	4.0%
b	7128	4.0%
Other values (8)	33849	18.8%

Value	Count	Frequency (%)
,	7128	100.0%

Value	Count	Frequency (%)
	40095	100.0%

Value	Count	Frequency (%)
(	2841	100.0%

Value	Count	Frequency (%)
)	2841	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	180097	77.3%
Common	52905	22.7%

Most frequent character per script

Value	Count	Frequency (%)
n	24705	13.7%
e	24006	13.3%
o	23248	12.9%
r	17097	9.5%
i	15651	8.7%
t	13029	7.2%
h	7128	4.0%
l	7128	4.0%
a	7128	4.0%
b	7128	4.0%
Other values (8)	33849	18.8%

Value	Count	Frequency (%)
	40095	75.8%
,	7128	13.5%
(	2841	5.4%
)	2841	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	233002	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	40095	17.2%
n	24705	10.6%
e	24006	10.3%
o	23248	10.0%
r	17097	7.3%
i	15651	6.7%
t	13029	5.6%
,	7128	3.1%
h	7128	3.1%
l	7128	3.1%
Other values (12)	53787	23.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	df_index	country	year	sample	serial	persons	hhwt	gq	geolev1	internet	computer	pernum	perwt	age	sex	race	indig	lit	edattain	edattaind	empstat	empstatd	labforce
0	21899551	brazil	2010	brazil 2010	5.311042e+09	2	2.35	households	76043	niu (not in universe)	no	1	2.35	25	male	white	no	yes, literate	secondary completed	secondary, general track completed	employed	at work	yes, in the labor force
1	38283085	mexico	2015	mexico 2015	9.875930e+08	4	50.00	households	484014	yes	no	2	50.00	13	female	NaN	no	yes, literate	primary completed	primary (6 yrs) completed	inactive	in school	niu (not in universe)
2	7388087	brazil	2010	brazil 2010	8.805020e+08	4	10.47	households	76023	niu (not in universe)	no	2	10.47	3	female	white	no	niu (not in universe)	less than primary completed	no schooling	niu (not in universe)	niu (not in universe)	niu (not in universe)
3	40775034	mexico	2015	mexico 2015	1.632011e+09	5	2.00	households	484020	no	yes	5	2.00	42	female	NaN	yes	yes, literate	primary completed	lower secondary general completed	employed	at work	yes, in the labor force
4	1064103	argentina	2010	argentina 2010	3.530430e+08	3	10.00	households	32006	NaN	yes	1	10.00	57	male	NaN	NaN	yes, literate	primary completed	primary (6 yrs) completed	employed	at work	yes, in the labor force
5	21924791	brazil	2010	brazil 2010	5.319560e+09	3	3.86	households	76043	yes	yes	3	3.86	76	female	white	no	yes, literate	primary completed	primary (6 yrs) completed	inactive	inactive (not in labor force)	no, not in the labor force
6	51705152	venezuela	2001	venezuela 2001	4.073540e+08	2	10.00	households	862015	no	no	2	10.00	30	male	NaN	NaN	yes, literate	primary completed	lower secondary general completed	employed	at work	yes, in the labor force
7	20333973	brazil	2010	brazil 2010	4.811139e+09	2	3.05	households	76041	niu (not in universe)	no	2	3.05	70	female	white	no	no, illiterate	less than primary completed	no schooling	inactive	inactive (not in labor force)	no, not in the labor force
8	45447027	mexico	2015	mexico 2015	2.851823e+09	13	6.00	households	484031	no	no	3	6.00	28	female	NaN	yes	yes, literate	primary completed	primary (6 yrs) completed	inactive	housework	no, not in the labor force
9	52338114	venezuela	2001	venezuela 2001	5.835450e+08	7	10.00	households	862023	no	no	6	10.00	18	male	NaN	NaN	yes, literate	secondary completed	secondary, general track completed	unemployed	unemployed, new worker	yes, in the labor force

Last rows

	df_index	country	year	sample	serial	persons	hhwt	gq	geolev1	internet	computer	pernum	perwt	age	sex	race	indig	lit	edattain	edattaind	empstat	empstatd	labforce
9990	8471333	brazil	2010	brazil 2010	1.184290e+09	2	3.83	households	76025	niu (not in universe)	no	2	3.83	53	female	brown (brazil)	no	no, illiterate	less than primary completed	some primary completed	inactive	inactive (not in labor force)	no, not in the labor force
9991	7453645	brazil	2010	brazil 2010	8.984330e+08	8	5.23	households	76023	niu (not in universe)	no	6	5.23	15	female	brown (brazil)	no	yes, literate	primary completed	primary (6 yrs) completed	inactive	inactive (not in labor force)	no, not in the labor force
9992	2248829	argentina	2010	argentina 2010	7.217800e+08	8	10.00	households	32018	NaN	no	6	10.00	11	female	NaN	NaN	yes, literate	less than primary completed	some primary completed	niu (not in universe)	niu (not in universe)	niu (not in universe)
9993	5912698	brazil	2010	brazil 2010	4.900580e+08	4	8.72	households	76021	niu (not in universe)	no	3	8.72	8	male	white	no	yes, literate	less than primary completed	some primary completed	niu (not in universe)	niu (not in universe)	niu (not in universe)
9994	42426758	mexico	2015	mexico 2015	2.051680e+09	1	10.00	households	484021	no	no	1	10.00	60	male	NaN	no	yes, literate	university completed	university completed	inactive	retirees and living on rent	no, not in the labor force
9995	26255366	colombia	2005	colombia 2005	3.979800e+07	9	4.64	households	170005	NaN	no	4	4.64	21	male	white	no	yes, literate	less than primary completed	some primary completed	employed	at work	yes, in the labor force
9996	4184185	brazil	2010	brazil 2010	6.417800e+07	5	8.83	households	76012	niu (not in universe)	no	3	8.83	91	female	white	no	no, illiterate	less than primary completed	no schooling	inactive	inactive (not in labor force)	no, not in the labor force
9997	30656672	dominican republic	2010	dominican republic 2010	3.642400e+07	2	10.00	households	214018	no	yes	1	10.00	28	male	NaN	NaN	yes, literate	primary completed	primary (6 yrs) completed	employed	employed, not specified	yes, in the labor force
9998	9051171	brazil	2010	brazil 2010	1.349303e+09	6	5.47	households	76026	niu (not in universe)	no	2	5.47	45	female	white	no	no, illiterate	less than primary completed	some primary completed	inactive	inactive (not in labor force)	no, not in the labor force
9999	46094153	nicaragua	2005	nicaragua 2005	7.503100e+07	5	10.00	households	558055	no	no	1	10.00	44	female	NaN	no	yes, literate	primary completed	lower secondary general completed	employed	at work	yes, in the labor force

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters